Xiaodan Liang

210 papers and 7.2k indexed citations i.

About

Xiaodan Liang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Xiaodan Liang has authored 210 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 165 papers in Computer Vision and Pattern Recognition, 126 papers in Artificial Intelligence and 16 papers in Computational Mechanics. Recurrent topics in Xiaodan Liang’s work include Multimodal Machine Learning Applications (77 papers), Domain Adaptation and Few-Shot Learning (67 papers) and Advanced Neural Network Applications (66 papers). Xiaodan Liang is often cited by papers focused on Multimodal Machine Learning Applications (77 papers), Domain Adaptation and Few-Shot Learning (67 papers) and Advanced Neural Network Applications (66 papers). Xiaodan Liang collaborates with scholars based in China, United States and Sweden. Xiaodan Liang's co-authors include Liang Lin, Shuicheng Yan, Jiashi Feng, Xiaohui Shen, Eric P. Xing, Yunchao Wei, Hang Xu, Ke Gong, Yao Zhao and Ming‐Ming Cheng and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Science of The Total Environment.

In The Last Decade

Co-authorship network of co-authors of Xiaodan Liang i

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Fields of papers citing papers by Xiaodan Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaodan Liang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaodan Liang. The network helps show where Xiaodan Liang may publish in the future.

Countries citing papers authored by Xiaodan Liang

Since Specialization

Citations

This map shows the geographic impact of Xiaodan Liang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaodan Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodan Liang more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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